Product Designer
Location: Farringdon, London, UK
Job Type: Permanent
Salary: Negotiable
About Depop:
Depop is a community-powered circular fashion marketplace with over 35 million users. They aim to redefine fashion consumption by making it circular, providing an inclusive environment where diversity thrives. Headquartered in London with offices in New York and Manchester, Depop became a subsidiary of Etsy in 2021. Learn more at Depop.
Role Responsibilities:
- Collaborate with the product team to define and evolve strategies for user communications.
- Design experiences to simplify and enhance Depop’s communications ecosystem.
- Optimize in-app communication channels based on user data.
- Develop tools and features to empower users and stakeholders in managing communications.
- Tailor communications for diverse user segments, enabling personalized notification settings.
Requirements:
- Experience in designing for Web, iOS, and Android.
- Strong understanding of UX/UI patterns and proficiency in design tools like Figma, Sketch, etc.
- A portfolio showcasing thoughtful UX/UI work.
- Ability to translate user research into design directives.
- Experience in e-commerce or marketplace platforms is a plus.
Benefits:
- Health and wellbeing support through Bupa, Self Space, and EAP programs.
- Flexible working options and 25 days of annual leave.
- Paid parental leave, IVF support, and emergency leave.
- Opportunities for professional growth, mentorship, and learning budgets.
- Pension matching up to 6% and life insurance coverage.
Apply here: Black Create Connect Product Designer
Senior Machine Learning Engineer
Location: Farringdon, London, UK
Job Type: Permanent
Salary: Negotiable
About Depop:
Depop connects a global community for buying, selling, and discovering desirable secondhand fashion. With a mission to make fashion circular, Depop fosters an inclusive and diverse workplace to drive innovation. Learn more at Depop.
Role Responsibilities:
- Design and implement pipelines for training, deploying, and monitoring real-time ranking models.
- Collaborate with ML Scientists and Backend Engineers to support model experimentation and deployment.
- Contribute to building Depop’s ML platform for robust model prototyping, training, and serving.
- Ensure operational excellence through testing, monitoring, and maintenance.
- Uphold a strong engineering culture oriented towards technical innovation and professional growth.
Requirements:
- Proven experience in building pipelines to train and deploy ML models.
- Proficiency in Python, AWS, Spark, and DataBricks.
- Familiarity with MLOps tooling like Sagemaker, TensorFlow, and CI/CD practices.
- Strong understanding of cloud-based systems design and data integration workflows.
Benefits:
- Comprehensive healthcare access and mental wellbeing support.
- Flexible working arrangements and up to 4 weeks of working abroad annually.
- Paid parental leave and sabbatical opportunities.
- Budgets for conferences, learning subscriptions, and mentorship programs.
- Life insurance and pension matching up to 6%.
Apply here: Black Create Connect Senior ML Engineer
Machine Learning Scientist
Location: Farringdon, London, UK
Job Type: Permanent
Salary: Negotiable
About Depop:
Depop is the community-powered circular fashion marketplace where anyone can buy, sell, and discover desirable secondhand fashion. With over 35 million users, Depop aims to make fashion circular and create an inclusive environment for all. A subsidiary of Etsy since 2021, Depop’s offices are in London, New York, and Manchester. Learn more at Depop.
Role Responsibilities:
- Research, design, and deliver machine learning solutions to enhance the fashion resale space.
- Fine-tune multimodal large language models for text understanding and image feature extraction.
- Collaborate with stakeholders to address business challenges using ML techniques.
- Conduct large-scale experiments to drive product development.
- Stay updated with advancements in ML and apply them to Depop’s systems.
Requirements:
- Experience as a Machine Learning Scientist with a proven track record.
- Proficiency in Python and frameworks like PyTorch, TensorFlow, or Transformers.
- Strong grasp of data engineering and MLOps.
- Ability to work collaboratively with technical and non-technical teams.
- Eagerness to learn and apply the latest ML algorithms.
Benefits:
- Health support including private healthcare, mental wellbeing programs, and EAP access.
- 25 days annual leave plus quarterly company-wide days off.
- Paid parental leave and support for family planning.
- Flexible working arrangements and options to work abroad.
- Pension matching, life insurance, and professional growth opportunities.
Apply here: Black Create Connect ML Scientist
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